HP announced earlier this week that organizations can now harness the value of Hadoop and the power of the HP Vertica Analytics Platform. HP Vertica for SQL on Hadoop simplifies data exploration, delivered in an economical way – all while running natively on an organization’s preferred Hadoop distribution and leveraging certification with leading visualization tools.

Hadoop has been preferred by organisations to cost-effectively store large volumes of unstructured data in what is referred to as a “data lake.” However, exploring HDFS-based data to unearth value for analytic insight has proven challenging, to date.

“With up to 25,000 job postings updates, over 400,000 active postings and over 1,000,000 unique visitors on our site every day, there is tremendous potential insight in all that data,” said Robert Fehrmann, Data Architect at Snagajob. “HP Vertica for SQL on Hadoop combines the power, speed, and scalability of HP Vertica with the ease and effectiveness of Hadoop and gives us an incredibly robust analytics tool to help understand and act on our information assets,” HP stated in a press release.

Combining proven HP Vertica for SQL on Hadoop dramatically reduces the complexity of multiple data architectures with a proven query engine, backed by HP’s first-class support, service, and expertise. Value of data stored on the Hadoop Distributed File System (HDFS) can now be seamlessly tapped into by organisations.

Shilpa Lawande, GM Platform, HP Software Big Data Business Unit stated -“With HP Vertica for SQL on Hadoop, we’re combining the best of both worlds – the industry’s enterprise-proven HP Vertica Analytics Platform with the broadly accessible Hadoop ecosystem.” She added – “Now, organizations can store data in HP Vertica or any Hadoop distribution, explore data in place using HP Vertica for SQL for Hadoop, and serve the highest-performance analytic needs for mixed workloads with HP Vertica Enterprise.”

Comprehensive SQL Analytics by HP Vertica on Hadoop will reduce switching costs and learning curves for users of ANSI SQL syntax. Moreover, data analysts can continue using familiar BI/analytics tools that visualize and auto-generate ANSI SQL code to interact with a wide variety of Hadoop distributions. Users can also tap into rich, built-in analytic functions that support JOINs, complex data types, and other capabilities only available in HP Vertica for SQL on Hadoop.

HP is focused on the deep integration of Hadoop SQL engine with any distribution of Hadoop. HP has partnered with Hortonworks, Cloudera, and MapR to introduce a flexible analytics platform that performs seamlessly across all of your Hadoop distributions.With its experience with petabyte scale deployments and world-class enterprise support and services organization HP is ‘Enterprise Ready’.

HP Vertica for SQL on Hadoop is now available across the globe and is priced per node. It will be available via direct and indirect channels. Hp and prominent Hadoop distribution partners will shed more light on this announcement at HP Discover in Barcelona in December.

Follow @DataconomyMedia

(Image credit: HP Vertica)

Berlin Buzzwords, ‘Germany’s most exciting conference on storing, processing and searching large amounts of digital data’, is back for a fifth year. The conference will take place on May 25-28, at Kulturbrauerei Berlin. It will feature a range of presentations on large scale computing projects, ranging from beginner-friendly talks to in-depth technical presentations about various technologies. Here is our pick of some of Buzzword’s events:

Hitfox (and Dataconomy) meet Berlin Buzzwords
An obvious highlight of Berlin Buzzwords will be the meetup organised by us and held in our Dataconomy HQ.
“Peter Grosskopf, Chief Development Officer at HitFox Group, is going to welcome everyone and show the way we approach Big Data at HitFox. Thorsten Bleich, Chief Technology Officer at HitFox’s mobile targeting venture, Datamonk, will follow with his talk on how Datamonk provides targeting solutions in mobile real-time advertising by collecting, transforming, and feeding data into the mobile ecosystem with their own cutting-edge technology.”
See you there!

SHARK ATTACK on SQL-On-Hadoop
This talk gives a quick intro to Apache Spark and its SQL query engine Shark. Additionally Shark is compared to other SQL-on-Hadoop tools from the ecosystem, like Impala and Hive, including a live “usage-demo”.

Staying ahead of Users & Time – two use cases of scaling data with Elasticsearch
People typically choose Elasticsearch for it’s horizontal scaling capabilities and ease of use. We will architect two solutions that both scale well and do it in a way that still allows for change – whether it is data changes, growth rates or resources.
The talk will be accessible to both people who know Elasticsearch (fairly) well and those who have never used it. If you know Elasticsearch and have used it before you will learn how to put some of it’s more advanced data management API to good use. If you only heard of Elasticsearch (or even if not), you will get an impression of why people choose it to index ever growing amounts of data.

What’s new in MongoDB 2.6.
A short talk about what’s new in our biggest release ever! We’ve changed up to 80% of our codebase and added major value to the Database.

Modern Cassandra
Cassandra continues to be the weapon of choice for developers dealing with performance at scale. Whether in social networking (Instagram), scientific computing (SPring-8), or retail (eBay), Cassandra continues to deliver. This talk will look at new features in Cassandra 2.x and the upcoming 3.0, such as lightweight transactions, virtual nodes, a new data model and query language, and more.